WHERE FUTURE BEGINS
  • ṢELF ḌEEP ḶEARNING
  • LSE MBA Essentials - The London School of Economics
    • Leading with influence
    • Economics for managers
    • Competitive strategy
    • Corporate strategy
    • Financial accounting
    • Management accounting
    • Analysing financial statements
    • In the mind of the manager
    • Nudging behaviour
    • Organisational culture as a leadership tool
  • Business Foundations Specialization - Wharton Online
    • Introduction to Marketing
      • BRANDING: Marketing Strategy and Brand Positioning
      • Marketing 101: Building Strong Brands Part I
      • Marketing 101: Building Strong Brands Part II
      • Strategic Marketing
      • Segmentation and Targeting
      • Brand Positioning
      • Brand Mantra: The Elevator Speech
      • Experiential Branding
      • CUSTOMER CENTRICITY: The Limits of Product-Centric Thinking
      • Cracks in the Product-Centric Approach
      • Data-Driven Business Models
      • Three Cheers for Direct Marketing
      • Which Firms Are Customer Centric?
      • What is Customer Centricity?
      • Living in a Customer-Centric World
      • More Reflections on Customer CentricityPrev
      • Questions on Customer Centricity
      • GO TO MARKET STRATEGIES: Online-Offline Interaction
      • Online/Offline Competition
      • Friction
      • The Long Tail Theory
      • Preference Isolation
      • How Internet Retailing Startups Grow
      • Customers and Digital Marketing
      • Influence and How Information Spreads
      • Pricing Strategies
      • The 7M
      • BRANDING: Effective Brand Communications Strategies and Repositioning Strategies
      • Brand Messaging & Communication
      • Brand Elements: Choosing a Brand Name
      • Brand Elements: Color & Taglines
      • Brand Elements: Packaging
      • Brand Elements: Persuasion
      • Repositioning a Brand
    • Introduction to Financial Accounting
      • 1.1.1: Financial Reporting Overview
      • 1.1.2: Financial Reporting Example
    • Managing Social and Human Capital
      • Professor Cappelli and Professor Useem Introductions
    • Introduction to Corporate Finance
      • Time Value of Money
      • Intuition and Discounting
      • Compounding
      • Useful Shortcuts
      • Taxes
      • Inflation
      • APR and EAR
      • Term Structure
      • Discounted Cash Flow: Decision Making
      • Discounted Cash Flow Analysis
      • Forecast Drivers
      • Forecasting Free Cash Flow
      • Decision Criteria
      • Sensitivity Analysis
      • Return on Investment
    • Introduction to Operations Management
    • Wharton Business Foundations Capstone
  • Artificial Intelligence Career Program - deeplearning.ai
    • Machine Learning
      • Introduction to Machine Learning
      • Supervised Learning
      • Unsupervised Learning
      • Model Representation - Linear Regression
      • Cost Function
      • Gradient Descent
      • Gradient Descent For Linear Regression
      • Linear Algebra
    • Deep Learning
    • Neutral Networks and Deep Learning
      • Introduction to Deep Learning
      • What is a neural network?
      • Supervised Learning with Neural Networks
      • Why is Deep Learning taking off?
      • About this Course
      • Binary Classification
      • Logistic Regression
      • Gradient Descent
      • Derivatives
      • Computation graph
      • Derivatives with a Computation Graph
      • Logistic Regression Gradient Descent
      • Vectorization
      • Vectorizing Logistic Regression
      • Vectorizing Logistic Regression's Gradient Output
      • Broadcasting in Python
      • A note on python/numpy vectors
      • Explanation of logistic regression cost function (optional)
      • Neural Networks Overview
      • Neural Network Representation
      • Computing a Neural Network's Output
      • Vectorizing across multiple examples
      • Activation functions
      • Derivatives of activation functions
      • Gradient descent for Neural Networks
      • Backpropagation intuition (optional)
      • Random Initialization
      • Deep L-layer neural network
      • Forward Propagation in a Deep Network
      • Getting your matrix dimensions right
      • Why deep representations?
      • Building blocks of deep neural networks
      • Forward and Backward Propagation
      • Parameters vs Hyperparameters
      • What does this have to do with the brain?
    • Convolutional Neural Networks
      • Computer Vision
      • Edge Detection Example
      • Padding
      • Strided Convolutions
      • Convolutions Over Volume
      • One Layer of a Convolutional Network
      • Simple Convolutional Network Example
      • Pooling Layers
      • CNN Example - Fully Connected Layers
      • Why Convolutions?
    • Neural Network Theory [ETH]
    • Natural Language Processing
    • Computer Vision
  • IBM Data Science Professional Certificate
    • What is Data Science?
    • Open Source tools for Data Science
    • Data Science Methodology
    • Python for Data Science and AI
    • Databases and SQL for Data Science
    • Data Analysis with Python
    • Data Visualization with Python
    • Machine Learning with Python
    • Applied Data Science Capstone
  • Data Analytics
    • Python for Data Analysis
    • Data Structure and Algorithms
  • Programming Language
    • Python
    • R
    • SQL
    • C++
    • C
    • Java
    • HTML
  • 机器学习工程师
  • 商业数据分析
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  1. Business Foundations Specialization - Wharton Online
  2. Introduction to Marketing

Three Cheers for Direct Marketing

三个直接营销Cheers

PreviousData-Driven Business ModelsNextWhich Firms Are Customer Centric?

Last updated 5 years ago

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因此 尽管Harrahs和Tesco的故事非常棒 我也会进一步提供一些将这两个故事总结得更好的书给大家 值得强调的是他们(Harrahs和Tesco)并非唯一 通过建立对顾客的深刻理解而成功的例子 也并非先例 事实上 最早通过建立对顾客的深刻理解二走向成功的例子 发生在许多年以前 并且出现在直销领域 提到直销 大部分人都会联想到不太好的方面 例如低质量产品 电视购物或其他不算高明的营销方式 它可能并不是你所 期望与之发生联系或者从中学习到的方式 但是当你剥离掉大部分顾客对于直销的看法 对于直销的看法并且去观察 直销表面下的实际商业行为 你会发现 直销的作用其实非常大 如果你深入了解直销 就会发现 它真正的意义在于建立一个以顾客为中心的商业模式 不仅仅是一般意义上的客户 甚至包括每一位消费者 它(直销)还能帮助理解与每个不同客户的关系 谁向我们购买了商品 买了多少 什么样的产品 退还了什么产品 与公司客户服务部门的互动 这就是直销的实质 即建立公司与 顾客之间更好的联系 有趣的是 直销并非一个新的概念 它在1967年左右出现 当Lester Wonderman 分析了一套新的数据驱动下的 商业行为后发现 事实上我们可以做很多事 我们可以整理分析这些商业行为并且选出相关的最佳做法 即使你并不怎么思考直销 很多(直销的)说法和概念已经 进入到现在的日常营销交流之中 所以 很多Barbara提到的许多关于市场细分的概念 常常与直销有关联 即使是其他概念如顾客的终身价值 (类似这些)你已经听过并且下一阶段我们会花更多时间讨论的概念 事实上起源于直销 因此 直销者是最早提出 我们可以收集所有关于顾客的数据 并基于每一位顾客的数据 理解并判断谁是更有价值的 顾客 哪些顾客产生的价值 次之 在什么样的时间点何种信息应该被传递给相应的顾客 以及更重要的是 怎样的产品应该被开发 并呈献给对公司而言更 有价值的顾客 同时吸引新的高价值顾客 所以 Harris 和 Tesco的故事尽管美妙 但并不是特例 我认为有必要花 很多时间来研究一些直销的商业实例 并且我想强调当今商业社会有许多公司也许 并不期望成为直销者 但他们没意识到的是 他们在采取直销的方式 任何在互联网上运营的公司 任何有能力去追踪每一位顾客的公司 都能从直销中学习到一些东西 我建议大家都去读一读有关直销的书籍 甚至当你认为这非常不靠谱 你仍然可以从中学习 并且加以利用 [背景音乐] 翻译: RyukaSuu |审阅: 19waa Coursera Global Translator Community